Job Description

(Senior) AI Engineer

Run and Maintain AI Products

Program in Python and use cloud technologies based on Azure, Google and OpenShift to deploy and model various ML models. Maintain custom GenAI products such as in house developed GPT solution. Develop and maintain various AI APIs and backend functionality that supports custom AI products Use Azure OpenAI, vector databases, Langchain and several other services and packages to develop and deploy custom GenAI applications.
Optimize Performance & Scalability

Proactively respond to service requests and incidents to ensure continuous uptime of our products and services in operations Profile, tune, and optimize models and backend components to meet SLA requirements. Evaluate and recommend new technologies or architectural patterns to improve existing products and services. Automate infrastructure provisioning (IaC) and CI/CD processes for custom AI workloads.

What You Bring

Must Have

Bachelor's in Computer Science, Software Engineering, Information Systems, or a related field. 3 to 5 years of hands-on experience in data science and field with a focus on using cloud based services Proficient in Python and ability to pick up other languages based on relevance. Experience with tools like Langchain and familiarity with Azure OpenAI or other similar services Experience with building custom RAG pipelines from scratch using Langchain and other relevant libraries. Extensive experience in Git (GitHub and GitOps) Experience with developing AI based APIs and making it available as a service via AI markerplace Excellent problem-solving skills, detail-oriented, and able to troubleshoot complex data issues under tight SLAs. Strong communication skills: able to liaise between technical teams, non-technical stakeholders, and senior management. Proactive mindset with a continuous improvement attitude; able to break down ambiguous requirements into actionable tasks.
Big Advantage

Master's degree in Computer science, Software Engineering, Information Systems, or a related field. Familiarity with containerization and tools like Docker, Kubernetes, etc. Azure and Azure services related to data science Knowledge of GCP, OpenShift, SAP
Job Type: Permanent

Pay: RM8,500.00 - RM10,000.00 per month

Benefits:

Additional leave Free parking Health insurance Maternity leave Opportunities for promotion Parental leave Professional development
Schedule:

Monday to Friday
Work Location: In person